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209
RaportJaroslawZbaski.md
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209
RaportJaroslawZbaski.md
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##Jarosław Zbąski – raport z podprojektu
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---
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#Wybrana metoda:
|
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---
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Do realizacji podprojektu wykorzystano drzewa decyzyjne wskazujące którą roślinę (jeśli w ogóle) należy posadzić na danym polu. Drzewo decyzję podejmuje na podstawie poszczególnych parametrów gleby:
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-żyzność (‘z’-żyzna, ‘j’-jałowa)
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-nawodnienie (‘n’ - nawodniona, ‘s’ - sucha)
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-nasłonecznienie (‘s’ - w słońcu, ‘c’ – w cieniu)
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-kwasowość gleby (‘k’ – kwasowa, ‘n’ – neutralna, ‘z’ - zasadowa)
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#Uczenie modelu:
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---
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Dane treningowe:
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```
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training_data = [
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#zyznosc, nawodnienie, cien, kwasowość, grupa
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['z', 'n', 's', 'z', 1],
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['z', 'n', 's', 'n', 1],
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['j', 'n', 's', 'z', 1],
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['z', 's', 's', 'n', 1],
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['j', 'n', 'c', 'n', 1],
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['z', 'n', 's', 'k', 1],
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['z', 'n', 'c', 'k', 2],
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['z', 's', 's', 'k', 2],
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['z', 's', 'c', 'k', 2],
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['j', 'n', 's', 'k', 2],
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['z', 's', 'c', 'z', 3],
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['j', 'n', 's', 'n', 3]
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]
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```
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Budowanie drzewa decyzyjnego opiera się na podziale gałęzi względem algorytmu CART. Ma ono postać ciągu pytań, na które odpowiedzi determinują kolejne pytania, bądź kończą etap. W wyniku otrzymujemy strukturę drzewa, która w węzłach końcowych nie zawiera już pytań, lecz same odpowiedzi. Dodatkowo wypisuje zestaw danych pasujących do liścia, z zestawu treningowego.
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```
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def build_tree(rows):
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gain, question = find_best_split(rows)
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if gain == 0:
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return Leaf(rows)
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true_rows, false_rows = partition(rows, question)
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true_branch = build_tree(true_rows)
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false_branch = build_tree(false_rows)
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return Decision_Node(question, true_branch, false_branch)
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```
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Znajdowanie najlepszego podziału opiera się głównie na Współczynniku Giniego, który mierzy stopień niejednorodności i dzieli ją przez ilość pozostałych zestawów testowych (entropia), co daje nam przyrost informacji.
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```
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def find_best_split(rows):
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best_gain = 0
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best_question = None
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current_uncertainty = gini(rows)
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n_features = len(rows[0]) - 1
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for col in range(n_features):
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values = set([row[col] for row in rows])
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for val in values:
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question = Question(col, val)
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true_rows, false_rows = partition(rows, question)
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if len(true_rows) == 0 or len(false_rows) == 0:
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continue
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gain = info_gain(true_rows, false_rows, current_uncertainty)
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if gain >= best_gain:
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best_gain, best_question = gain, question
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return best_gain, best_question
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```
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Drzewo powstałe poprzez wykonanie metody print_tree(node,spacing) na zestawie testowym:
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```
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Czy kwasowosc == k?
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--> True:
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Czy cien == s?
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--> True:
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Czy nawodnienie == n?
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--> True:
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Czy zyznosc == j?
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--> True:
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Predict {2: 1}
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--> False:
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Predict {1: 1}
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--> False:
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Predict {2: 1}
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--> False:
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Predict {2: 2}
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--> False:
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Czy cien == s?
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--> True:
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Czy zyznosc == j?
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--> True:
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Czy kwasowosc == n?
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--> True:
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Predict {3: 1}
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--> False:
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Predict {1: 1}
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--> False:
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Predict {1: 3}
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--> False:
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Czy kwasowosc == n?
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--> True:
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Predict {1: 1}
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--> False:
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Predict {3: 1}
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```
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#Implementacja w C++:
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---
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Komunikacja między pythonem a cpp zachodzi przez pliki dane.txt i decyzje.txt. W pliku dane.txt cpp wypisuje stan całego pola w oddzielonych spacją kolumnach począwszy od indeksu x=1,y=1 aż po x=25,y=25. Decyzje podjęte przez drzewo decyzyjne wypisane w pliku decyzje.txt zawierają symbol rośliny lub pola jakie mają się znajdować na polu (również w całej przestrzeni pola).
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Zestaw testowych danych:
|
||||
```
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void testSI1()
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{
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for (int i = 1; i < 26; i++)
|
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{
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for (int j = 1; j < 26; j++)
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{
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if (j % 3 == 0)
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{
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pole[i][j][2] = 'z'; //zyzne
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pole[i][j][3] = 'n'; //nawodnione
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pole[i][j][4] = 'c'; //w cieniu
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pole[i][j][5] = 'k'; //kwasne
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}
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else
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{
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if (j % 3 == 1)
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{
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pole[i][j][2] = 'j'; //jalowe
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pole[i][j][3] = 'n'; //nawodnione
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pole[i][j][4] = 's'; //w sloncu
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pole[i][j][5] = 'n'; //neutralne
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}
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else
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{
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pole[i][j][2] = 'z'; //zyzne
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pole[i][j][3] = 's'; //suche
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pole[i][j][4] = 's'; //sloneczne
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pole[i][j][5] = 'z'; //zasadowe
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}
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}
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}
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}
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}
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```
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Funkcja wysyłająca stan pola:
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```
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void sendState()
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{
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ofstream write("dane.txt");
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for (int i = 1; i < 26; i++)
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{
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for (int j = 1; j < 26; j++)
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{
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string a;
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a += pole[i][j][2];
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a += ' ';
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a += pole[i][j][3];
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a += ' ';
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a += pole[i][j][4];
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a += ' ';
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a += pole[i][j][5];
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write << a << endl;
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}
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}
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write.close();
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}
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```
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Funkcja kierująca traktorem (decyzja co zasiać):
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```
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void reciveState()
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{
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ifstream read("decyzje.txt");
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if (read.is_open())
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{
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char plant;
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int i = 1;
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int j = 1;
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while (read >> plant)
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{
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if (j == 25)
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{
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gogo(1, i+1);
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}
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else
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{
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gogo(j+1 , i );
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}
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pole[i][j][0] = plant;
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if (plant == '.')
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{
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pole[i][j][1] = '1';
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}
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else
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{
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pole[i][j][1] = '9';
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}
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||||
if (j == 25)
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{
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j = 1;
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i += 1;
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}
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else
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{
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j += 1;
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}
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}
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}
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}
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```
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47
RaportLauraPiotrowska.md
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47
RaportLauraPiotrowska.md
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@ -0,0 +1,47 @@
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# Opis dokumentu
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Ten dokument to raport z wykonanego podprojektu na przedmiot Sztuczna Inteligencja. Celem
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zadania jest implementacja algorytmu genetycznego w projekcie o tematyce inteligentny traktor.
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# Zastosowanie algorytmu
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Algorytm został wykorzystany do wygenerowania zbioru roślin do zasadzenia na bazie zebranych wcześniej roślin
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# Skrócony opis implementacji w projekcie wspólnym
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* Na początku dla każdego pola zawierającego buraki, zostanie wygenerowany kod genetyczny roślin z tego pola.
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|
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* Funkcja Move teraz zajmuje się również zbieraniem i wywoływaniem sadzenia roślin
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|
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|
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* Funkcja przypiszKod decyduje czy należy zasadzić jedną z modyfikowanych genetycznie roślin, czy należy zasadzić nową (losową).
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* Gdy liczba zebranych buraków osiągnie określoną wartość, zostanie przeprowadzony algorytm genetyczny i powstanie tablica roślin do zasadzenia
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|
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|
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# Opis algorytmu genetycznego
|
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* Algorytm wykonuje 5 iteracji, w których dokonuje selekcji osobników populacji, które zostaną poddane rozrodowi i wytwarza kolejne pokolenie populacji. Po wyjściu z pętli metodą rankingu selekcjonuje najlepszą część ostatniego pokolenia.
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* Selekcja odbywa się metodą ruletki. Obliczana jest wartość funkcji dostosowania dla każdego osobnika. Im lepsza wartość, tym większa szansa na wylosowanie.
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* Funkcja dostosowania polega na wyliczeniu średniej arytmetycznej trzech wartości: smaku, rozmiaru i koloru rośliny, które są zakodowane w łańcuchu znaków.
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|
||||
|
||||
|
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* Funkcja crossover zajmuje się wywołaniem krzyżowania odpowiedniej liczby osobników
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|
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* Zastosowana została metoda krzyżowania równomiernego (uniform crossover) z małą modyfikacją, zmniejszającą szansę na to, że dziecko będzie "klonem" rodzica. Istnieje również mała szansa, że dojdzie do równomiernej mutacji (uniform mutation), w której losowa cecha dziecka zostaje wygenerowana na nowo.
|
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|
||||
|
||||
|
||||
|
||||
|
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211
RaportSzymonParafiński.md
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211
RaportSzymonParafiński.md
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@ -0,0 +1,211 @@
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# Podprojekt indywidualny - Szymon Parafiński
|
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---
|
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W folderze Sklearn znajduje się wykorzystana baza, wygenerowane drzewo oraz reszta plików związana z podprojektem.
|
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|
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## Wykorzystana metoda uczenia
|
||||
|
||||
Do realizacji podprojektu wykorzystano drzewa decyzyjne do decydowania, co należy zrobić po najechaniu na konkretne pole.
|
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Drzewo decyduje na jakim etapie jest roślina analizując poszczególne stany danego pola:
|
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- Dopiero co zasiana (kiełek)
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- 0: "Nie_podejmuj_działania"
|
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- Roślinka kiełkująca (młoda)
|
||||
- 1: "Zastosuj_nawóz"
|
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- Roślina starzejąca się, bez środka ochrony
|
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- 2: "Zastosuj_środek"
|
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- Roślinka dojrzałam gotowa do zbioru
|
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- 4: "Zbierz"
|
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- Roślina zepsuta, nie nadaje się do użytku
|
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- 5: "Roślina_już_zgniła-zbierz_i_wyrzuć".
|
||||
|
||||
Do implementacji drzew decyzyjnych w Pythonie wykorzystane zostały biblioteki
|
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**sklearn** , **pandas**,**sys** oraz **pickle**.
|
||||
|
||||
## Uczenie modelu
|
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|
||||
#### loadLearningBase(): [python]
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Metoda **loadLearningBase** rozpoczyna od utworzenia zbioru uczącego na podstawie tabeli zawierającej informacje wszystkich możliwych stanach roślinki.
|
||||
|
||||
* *col_names* -> zawiera nagłówki poszczególnych kolumn
|
||||
* *feature_cols* -> zawiera nagłówki z kolumnami w których znajdują się dane do analizy
|
||||
```
|
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col_names = ['Warzywo', 'Nawoz', 'Srodek', 'Stan', 'Dzialanie']
|
||||
base = pd.read_csv("Database.csv", header=None, names=col_names)
|
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feature_cols = ['Warzywo', 'Nawoz', 'Srodek', 'Stan']
|
||||
""" print dataset"""
|
||||
# print(base.head())
|
||||
```
|
||||
Tutaj dzielimy podane kolumny na dwa typy zmiennych:
|
||||
* zmienne docelowe ---> y
|
||||
* i zmienne funkcyjne ---> X
|
||||
|
||||
Aby móc sprawdzić wydajność modelu, dzielę zestaw danych na zestaw szkoleniowy i zestaw testowy ---> za pomocą funkcji train_test_split ().
|
||||
|
||||
```
|
||||
X = base[feature_cols] # Features
|
||||
y = base.Dzialanie # Target variable
|
||||
|
||||
# Split dataset into training set and test set
|
||||
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3,
|
||||
random_state=1) # 70% training and 30% test
|
||||
```
|
||||
Wywołanie funkcji odpowiedzialnej za wygenerowanie drzewa.
|
||||
```
|
||||
data = generateDecisionTree(X_train, X_test, y_train, y_test)
|
||||
```
|
||||
Dodatkowe elementy pozwalające na wizualizację stworzonego drzewa decyzyjnego poprzez wygenerowanie drzewa zależności if/else lub najpierw do pliku .dot, który następnie poddany odpowiedniej 'obróbce' utworzy obraz.
|
||||
```
|
||||
"""generate data for image"""
|
||||
# tree.export_graphviz(data, out_file='treeData.dot', filled=True, rounded=True, special_characters=True,
|
||||
# feature_names=feature_cols)
|
||||
|
||||
"""Printing if_styled tree to console"""
|
||||
# tree_to_code(data, feature_cols)
|
||||
|
||||
return data
|
||||
```
|
||||
---
|
||||
#### generateDecisionTree(): [python]
|
||||
Metoda **generateDecisionTree** generuje drzewo decyzyjne na podstawie dostarczonej bazy danych.
|
||||
|
||||
Do zmiennej *clf* zapisujemy drzewo decyzyjne z biblioteki **sklearn** utworzone za pomocą metody **DecisionTreeClassifier** z parametrem **criterion** ustawionym na **"entropy"**, który pozwala na uzyskiwanie informacji.
|
||||
Na drzewie wywołujemy metodę **fit**, która dopasowuje do drzewa zbiór uczący zadany w tablicach **X_train** i **y_train**.
|
||||
Po dopasowaniu danych możemy przewidzieć stan nowych przykładów, co robimy wywołując na drzewie metodę **predict** z parametrami, które zawierają informację o stanie danego pola.
|
||||
```
|
||||
def generateDecisionTree(X_train, X_test, y_train, y_test):
|
||||
# Create Decision Tree classifer object
|
||||
clf = DecisionTreeClassifier(criterion="entropy")
|
||||
|
||||
# Train Decision Tree Classifer
|
||||
clf = clf.fit(X_train, y_train)
|
||||
```
|
||||
Aby ocenić dokładność naszego modelu przewidujemy odpowiedzi dla naszego zestawu testowego, aby móc go porównać z zestawem y_test i otrzymać dokładność wygenerowanego modelu.
|
||||
```
|
||||
# Predict the response for test dataset
|
||||
y_pred = clf.predict(X_test)
|
||||
|
||||
"""Model Accuracy, how often is the classifier correct """
|
||||
# print("Accuracy:", metrics.accuracy_score(y_test, y_pred))
|
||||
```
|
||||
---
|
||||
#### main(): [python]
|
||||
Metoda main wywołuje pozostałe metody oraz zapisuje wygenerowany model do pliku .sav aby nie było trzeba ponownie generować drzewa, tylko wczytać już te wygenerowane.
|
||||
```
|
||||
generated = loadLearningBase()
|
||||
|
||||
# Save generated tree
|
||||
filename = 'decisionTree.sav'
|
||||
pickle.dump(generated, open(filename, 'wb'))
|
||||
```
|
||||
|
||||
## Implementacja w projekcie całościowym
|
||||
|
||||
Klasa wywoływana w **C++** nazywa się *injectCode*.
|
||||
Działanie polega na tym że, funkcja **stanPola** sprawdza jakie wartości ma dane pole i generuje odpowiednie polecenie do wykonania.
|
||||
#### stanPola(): [C++]
|
||||
|
||||
```
|
||||
void stanPola(int x, int y) {
|
||||
//[x][x][0] = 0 - brak chemii
|
||||
//[x][x][0] = 1 - tylko nawóz
|
||||
//[x][x][0] = 2 - tylko środek
|
||||
//[x][x][0] = 3 - środek i nawóz
|
||||
//[x][x][1] - wartość wzrostu rośliny
|
||||
|
||||
polecenie = "python pliki/injectCode.py 1 ";
|
||||
|
||||
if (stan[x][y][0] == 0)
|
||||
polecenie.append("0 0 ");
|
||||
if (stan[x][y][0] == 1)
|
||||
polecenie.append("1 0 ");
|
||||
if (stan[x][y][0] == 2)
|
||||
polecenie.append("0 1 ");
|
||||
if (stan[x][y][0] == 3)
|
||||
polecenie.append("1 1 ");
|
||||
int w = (stan[x][y][1]);
|
||||
std::string s = std::to_string(w);
|
||||
polecenie.append(s);
|
||||
|
||||
decisionTree(polecenie);
|
||||
}
|
||||
```
|
||||
|
||||
Następnie funckja **decisionTree** wykonuje wygenerowane zapytanie.
|
||||
#### decisionTree(): [C++]
|
||||
|
||||
```
|
||||
void decisionTree(string polecenie) {
|
||||
|
||||
std::string str = polecenie;
|
||||
const char* c = str.c_str();
|
||||
system(c);
|
||||
|
||||
int line = 0;
|
||||
ifstream inFile;
|
||||
inFile.open("pliki/dec.txt");
|
||||
if (!inFile) {
|
||||
cout << "Unable to open file";
|
||||
exit(1); // terminate with error
|
||||
}
|
||||
|
||||
while (inFile >> line) {
|
||||
decyzja = line;
|
||||
}
|
||||
|
||||
inFile.close();
|
||||
akcja();
|
||||
}
|
||||
```
|
||||
#### injectCode(): [python]
|
||||
|
||||
```
|
||||
import pickle
|
||||
import sys
|
||||
|
||||
|
||||
def prediction(warzywo, nawoz ,srodek, stan_wzrostu):
|
||||
filename = 'pliki/decisionTree.sav'
|
||||
tree = pickle.load(open(filename, 'rb'))
|
||||
val = (tree.predict([[warzywo, nawoz, srodek, stan_wzrostu]]))
|
||||
save(val)
|
||||
|
||||
def save(prediction):
|
||||
pred = str(prediction)
|
||||
plik = open('pliki/dec.txt', 'w')
|
||||
plik.write(pred[1])
|
||||
plik.close()
|
||||
|
||||
def decision(prediction):
|
||||
if prediction == 0:
|
||||
return "Nie_podejmuj_dzialania"
|
||||
elif prediction == 1:
|
||||
return "Zastosuj_nawoz"
|
||||
elif prediction == 2:
|
||||
return "Zastosuj_srodek"
|
||||
elif prediction == 4:
|
||||
return "Zbierz"
|
||||
elif prediction == 5:
|
||||
return "Roslina_juz_zgnila__zbierz_i_wyrzuc"
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Map command line arguments to function arguments.
|
||||
prediction(*sys.argv[1:])
|
||||
```
|
||||
Generowane polecenie wygląda w ten sposób:
|
||||
```
|
||||
python injectCode.py a b c d
|
||||
```
|
||||
Gdzie:
|
||||
* a -> rodzaj warzywa
|
||||
* b -> czy roślina była nawożona
|
||||
* 0: "nie"
|
||||
* 1: "tak"
|
||||
* c -> czy na roślinie był stosowany środek ochronny
|
||||
* 0: "nie"
|
||||
* 1: "tak"
|
||||
* d -> stan wzrostu w jakim znajduje się roślina
|
||||
* [1,20) - kiełek,
|
||||
* [20,45) - młoda roślina,
|
||||
* [45,85) - dojrzała,
|
||||
* [80,100] - starzejąca się.
|
||||
105
RaportTomaszDzierzbicki.md
Normal file
105
RaportTomaszDzierzbicki.md
Normal file
@ -0,0 +1,105 @@
|
||||
# Lista funkcji
|
||||
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# sigmoid, pSigmoid
|
||||
funkcja sigmoid przetwarzająca podaną liczbę na liczbę z przedziału [0 ; 1]
|
||||
funkcja psigmoid jest pochodną sigmoid
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# lookOFVege
|
||||
funkcja przemieniająca stan rośliny na to 'jak wygląda'
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# setValusesRange
|
||||
funkcja przygotowująca dane pod sigmoid
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# gradient
|
||||
funkcja gradientu przechowująca wzrosty połączeń neuronów
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# buildMatrix
|
||||
funkcja tworząca czystą macierz połączeń neuronów
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# buildAvrGrad
|
||||
funkcja tworząca czystą macierz średnich gradientów
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# neuronsInputBuild
|
||||
funkcja uzupełniająca dane wejściowe neuronów, uzupełniająca wyjścia na podstawie wag macierzy połączeń oraz zwracająca koszt dla wybranego oczekiwanego rozwiązania
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# backProp
|
||||
funkcja wstecznej propagacji obniżająca koszt conajmniej 50 oraz zapisująca gradient tego kosztu
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# network
|
||||
funkcja przekazująca dane oczekiwane o wstecznej propagacji
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# bestMatrixBuild
|
||||
funkcja budująca najlepszą macierz wag na podstawie średnich gradientów
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# tests
|
||||
zbiory testowe
|
||||
## neuroTest1
|
||||
test z jednym konkrenym warzywem na polu
|
||||
|
||||
|
||||
|
||||
## neuroTest2
|
||||
test z warzywami blokującymi oczekiwane warzywo
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# neuroStart1
|
||||
funkcja inicjalizująca naukę traktora
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# chousePath
|
||||
funkcja poruszająca traktor do najlepszego pola
|
||||
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# testOfNeuroMove
|
||||
test do sprawdzenia działania traktora po nauce
|
||||
|
||||
|
||||
|
||||
-----
|
||||
# main
|
||||
inicjalizacja nauki oraz użycia jej
|
||||
|
||||
|
||||
1166
backups/Main.cpp
Normal file
1166
backups/Main.cpp
Normal file
File diff suppressed because it is too large
Load Diff
606
backups/MainPure.cpp
Normal file
606
backups/MainPure.cpp
Normal file
@ -0,0 +1,606 @@
|
||||
#include<iostream>
|
||||
#include<stdlib.h>
|
||||
#include<windows.h>
|
||||
#include<conio.h>
|
||||
#include<string>
|
||||
#include<list>
|
||||
#include<set>
|
||||
#include<math.h>
|
||||
#include<stack>
|
||||
|
||||
using namespace std;
|
||||
|
||||
const float maxFloat=FLT_MAX;
|
||||
const int ROW = 27;
|
||||
const int COL = 27;
|
||||
typedef pair<int, int> Pair;
|
||||
typedef pair<double, pair<int, int>> pPair;
|
||||
struct cell
|
||||
{
|
||||
int parent_i, parent_j;
|
||||
double f, g, h;
|
||||
};
|
||||
|
||||
char pole[27][27][2];
|
||||
int pozycjaTraktoraX = 1, pozycjaTraktoraY = 1;
|
||||
char currentWay = 'S';
|
||||
|
||||
void color(string foregroundColor, string backgroundColor)
|
||||
{
|
||||
HANDLE hOut;
|
||||
hOut = GetStdHandle(STD_OUTPUT_HANDLE);
|
||||
int foregroundCode = 15;
|
||||
if (foregroundColor == "black")
|
||||
foregroundCode = 0;
|
||||
if (foregroundColor == "dark_blue")
|
||||
foregroundCode = 1;
|
||||
if (foregroundColor == "green")
|
||||
foregroundCode = 2;
|
||||
if (foregroundColor == "cyan")
|
||||
foregroundCode = 3;
|
||||
if (foregroundColor == "dark_red")
|
||||
foregroundCode = 4;
|
||||
if (foregroundColor == "purple")
|
||||
foregroundCode = 5;
|
||||
if (foregroundColor == "dark_yellow")
|
||||
foregroundCode = 6;
|
||||
if (foregroundColor == "light_gray")
|
||||
foregroundCode = 7;
|
||||
if (foregroundColor == "gray")
|
||||
foregroundCode = 8;
|
||||
if (foregroundColor == "blue")
|
||||
foregroundCode = 9;
|
||||
if (foregroundColor == "lime")
|
||||
foregroundCode = 10;
|
||||
if (foregroundColor == "light_blue")
|
||||
foregroundCode = 11;
|
||||
if (foregroundColor == "red")
|
||||
foregroundCode = 12;
|
||||
if (foregroundColor == "magenta")
|
||||
foregroundCode = 13;
|
||||
if (foregroundColor == "yellow")
|
||||
foregroundCode = 14;
|
||||
if (foregroundColor == "white")
|
||||
foregroundCode = 15;
|
||||
|
||||
int backgroundCode = 0;
|
||||
if (backgroundColor == "black")
|
||||
backgroundCode = 0;
|
||||
if (backgroundColor == "dark_blue")
|
||||
backgroundCode = 1;
|
||||
if (backgroundColor == "green")
|
||||
backgroundCode = 2;
|
||||
if (backgroundColor == "cyan")
|
||||
backgroundCode = 3;
|
||||
if (backgroundColor == "dark_red")
|
||||
backgroundCode = 4;
|
||||
if (backgroundColor == "purple")
|
||||
backgroundCode = 5;
|
||||
if (backgroundColor == "dark_yellow")
|
||||
backgroundCode = 6;
|
||||
if (backgroundColor == "light_gray")
|
||||
backgroundCode = 7;
|
||||
if (backgroundColor == "gray")
|
||||
backgroundCode = 8;
|
||||
if (backgroundColor == "blue")
|
||||
backgroundCode = 9;
|
||||
if (backgroundColor == "lime")
|
||||
backgroundCode = 10;
|
||||
if (backgroundColor == "light_blue")
|
||||
backgroundCode = 11;
|
||||
if (backgroundColor == "red")
|
||||
backgroundCode = 12;
|
||||
if (backgroundColor == "magenta")
|
||||
backgroundCode = 13;
|
||||
if (backgroundColor == "yellow")
|
||||
backgroundCode = 14;
|
||||
if (backgroundColor == "white")
|
||||
backgroundCode = 15;
|
||||
SetConsoleTextAttribute(hOut, foregroundCode + backgroundCode * 16);
|
||||
}
|
||||
|
||||
void SetWindow(int Width, int Height)
|
||||
{
|
||||
_COORD coord;
|
||||
coord.X = Width;
|
||||
coord.Y = Height;
|
||||
|
||||
_SMALL_RECT Rect;
|
||||
Rect.Top = 0;
|
||||
Rect.Left = 0;
|
||||
Rect.Bottom = Height - 1;
|
||||
Rect.Right = Width - 1;
|
||||
|
||||
HANDLE Handle = GetStdHandle(STD_OUTPUT_HANDLE); // Get Handle
|
||||
SetConsoleScreenBufferSize(Handle, coord); // Set Buffer Size
|
||||
SetConsoleWindowInfo(Handle, TRUE, &Rect); // Set Window Size
|
||||
}
|
||||
|
||||
void updatePola()
|
||||
{
|
||||
system("cls");
|
||||
for (int i = 0; i < 27; i++)
|
||||
{
|
||||
for (int j = 0; j < 27; j++)
|
||||
{
|
||||
char item = pole[i][j][0];
|
||||
switch (item)
|
||||
{
|
||||
case 'B':
|
||||
{
|
||||
color("purple", "dark_yellow");
|
||||
}break;
|
||||
case 'T':
|
||||
{
|
||||
color("red", "dark_yellow");
|
||||
}break;
|
||||
case 'G':
|
||||
{
|
||||
color("lime", "dark_yellow");
|
||||
}break;
|
||||
case '.':
|
||||
{
|
||||
color("yellow", "dark_yellow");
|
||||
}break;
|
||||
case '#':
|
||||
{
|
||||
color("light_gray", "gray");
|
||||
}break;
|
||||
}
|
||||
cout << pole[i][j][0];
|
||||
|
||||
}
|
||||
cout << endl;
|
||||
color("white", "black");
|
||||
}
|
||||
}
|
||||
|
||||
void correctMovement(char wantedWay)
|
||||
{
|
||||
while (currentWay != wantedWay)
|
||||
{
|
||||
switch (currentWay)
|
||||
{
|
||||
case 'N':
|
||||
{
|
||||
if (wantedWay == 'S')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'W';
|
||||
}break;
|
||||
case 'S':
|
||||
{
|
||||
if (wantedWay == 'N')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'W';
|
||||
}break;
|
||||
case 'W':
|
||||
{
|
||||
if (wantedWay == 'E')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'N';
|
||||
}break;
|
||||
case 'E':
|
||||
{
|
||||
if (wantedWay == 'W')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'N';
|
||||
}break;
|
||||
}
|
||||
}
|
||||
}
|
||||
void Move(char kierunek)
|
||||
{
|
||||
switch (kierunek)
|
||||
{
|
||||
//góra-(w)
|
||||
case 'w':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY - 1][pozycjaTraktoraX][0] != '#')
|
||||
{
|
||||
correctMovement('N');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraY--;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
//dół-(s)
|
||||
case 's':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY + 1][pozycjaTraktoraX][0] != '#')
|
||||
{
|
||||
correctMovement('S');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraY++;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
//lewo-(a)
|
||||
case 'a':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY][pozycjaTraktoraX - 1][0] != '#')
|
||||
{
|
||||
correctMovement('W');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraX--;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
//prawo-(d)
|
||||
case 'd':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY][pozycjaTraktoraX + 1][0] != '#')
|
||||
{
|
||||
correctMovement('E');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraX++;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
}
|
||||
}
|
||||
|
||||
bool isValid(int x, int y)
|
||||
{
|
||||
if (pole[x][y][0] != '#')
|
||||
{
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
bool isDestination(int x, int y,Pair dest)
|
||||
{
|
||||
if (dest.first == x && dest.second == y)
|
||||
{
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
double calculateHValue(int x, int y, Pair dest)
|
||||
{
|
||||
return abs(x - dest.first) + abs(y - dest.second);
|
||||
}
|
||||
void tracePath(cell cellDetails[][COL], Pair dest)
|
||||
{
|
||||
//printf("\nThe Path is "); //----start info
|
||||
int row = dest.first;
|
||||
int col = dest.second;
|
||||
|
||||
stack<Pair> Path;
|
||||
|
||||
while (!(cellDetails[row][col].parent_i == row
|
||||
&& cellDetails[row][col].parent_j == col))
|
||||
{
|
||||
Path.push(make_pair(row, col));
|
||||
int temp_row = cellDetails[row][col].parent_i;
|
||||
int temp_col = cellDetails[row][col].parent_j;
|
||||
row = temp_row;
|
||||
col = temp_col;
|
||||
}
|
||||
|
||||
Path.push(make_pair(row, col));
|
||||
while (!Path.empty())
|
||||
{
|
||||
pair<int, int> p = Path.top();
|
||||
Path.pop();
|
||||
if (p.first > pozycjaTraktoraX)
|
||||
Move('d');
|
||||
if (p.first < pozycjaTraktoraX)
|
||||
Move('a');
|
||||
if (p.second > pozycjaTraktoraY)
|
||||
Move('s');
|
||||
if (p.second < pozycjaTraktoraY)
|
||||
Move('w');
|
||||
|
||||
//printf("-> (%d,%d) ", p.first, p.second); //---- informacja wierzchołku
|
||||
Sleep(1000);
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
void aStarSearch(int grid[][COL],Pair src, Pair dest)
|
||||
{
|
||||
bool closedList[ROW][COL];
|
||||
memset(closedList, false, sizeof(closedList));
|
||||
|
||||
cell cellDetails[ROW][COL];
|
||||
|
||||
int i, j;
|
||||
for (i = 0; i < ROW; i++)
|
||||
{
|
||||
for (j = 0; j < COL; j++)
|
||||
{
|
||||
cellDetails[i][j].f = maxFloat;
|
||||
cellDetails[i][j].g = maxFloat;
|
||||
cellDetails[i][j].h = maxFloat;
|
||||
cellDetails[i][j].parent_i = -1;
|
||||
cellDetails[i][j].parent_j = -1;
|
||||
}
|
||||
}
|
||||
i = src.first, j = src.second;
|
||||
cellDetails[i][j].f = 0.0;
|
||||
cellDetails[i][j].g = 0.0;
|
||||
cellDetails[i][j].h = 0.0;
|
||||
cellDetails[i][j].parent_i = i;
|
||||
cellDetails[i][j].parent_j = j;
|
||||
|
||||
set<pPair> openList;
|
||||
openList.insert(make_pair(0.0, make_pair(i, j)));
|
||||
bool foundDest = false;
|
||||
|
||||
while (!openList.empty())
|
||||
{
|
||||
pPair p = *openList.begin();
|
||||
openList.erase(openList.begin());
|
||||
i = p.second.first;
|
||||
j = p.second.second;
|
||||
closedList[i][j] = true;
|
||||
|
||||
double gNew, hNew, fNew;
|
||||
double waga = 1.0;
|
||||
waga = ((double)pole[j][i][1] - 48)*1.0;//----waga
|
||||
|
||||
//----------- 1st Successor (North) ------------
|
||||
if (isValid(i - 1, j) == true)
|
||||
{
|
||||
if (isDestination(i - 1, j, dest) == true)
|
||||
{
|
||||
cellDetails[i - 1][j].parent_i = i;
|
||||
cellDetails[i - 1][j].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i - 1][j] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i - 1, j, dest);
|
||||
fNew = gNew + hNew;
|
||||
|
||||
if (cellDetails[i - 1][j].f == maxFloat ||
|
||||
cellDetails[i - 1][j].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew,
|
||||
make_pair(i - 1, j)));
|
||||
|
||||
|
||||
cellDetails[i - 1][j].f = fNew;
|
||||
cellDetails[i - 1][j].g = gNew;
|
||||
cellDetails[i - 1][j].h = hNew;
|
||||
cellDetails[i - 1][j].parent_i = i;
|
||||
cellDetails[i - 1][j].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//----------- 2nd Successor (South) ------------
|
||||
if (isValid(i + 1, j) == true)
|
||||
{
|
||||
if (isDestination(i + 1, j, dest) == true)
|
||||
{
|
||||
cellDetails[i + 1][j].parent_i = i;
|
||||
cellDetails[i + 1][j].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i + 1][j] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i + 1, j, dest);
|
||||
fNew = gNew + hNew;
|
||||
if (cellDetails[i + 1][j].f == maxFloat ||
|
||||
cellDetails[i + 1][j].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew, make_pair(i + 1, j)));
|
||||
cellDetails[i + 1][j].f = fNew;
|
||||
cellDetails[i + 1][j].g = gNew;
|
||||
cellDetails[i + 1][j].h = hNew;
|
||||
cellDetails[i + 1][j].parent_i = i;
|
||||
cellDetails[i + 1][j].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//----------- 3rd Successor (East) ------------
|
||||
if (isValid(i, j + 1) == true)
|
||||
{
|
||||
if (isDestination(i, j + 1, dest) == true)
|
||||
{
|
||||
cellDetails[i][j + 1].parent_i = i;
|
||||
cellDetails[i][j + 1].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i][j + 1] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i, j + 1, dest);
|
||||
fNew = gNew + hNew;
|
||||
if (cellDetails[i][j + 1].f == maxFloat ||
|
||||
cellDetails[i][j + 1].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew,
|
||||
make_pair(i, j + 1)));
|
||||
cellDetails[i][j + 1].f = fNew;
|
||||
cellDetails[i][j + 1].g = gNew;
|
||||
cellDetails[i][j + 1].h = hNew;
|
||||
cellDetails[i][j + 1].parent_i = i;
|
||||
cellDetails[i][j + 1].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//----------- 4th Successor (West) ------------
|
||||
if (isValid(i, j - 1) == true)
|
||||
{
|
||||
if (isDestination(i, j - 1, dest) == true)
|
||||
{
|
||||
cellDetails[i][j - 1].parent_i = i;
|
||||
cellDetails[i][j - 1].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i][j - 1] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i, j - 1, dest);
|
||||
fNew = gNew + hNew;
|
||||
if (cellDetails[i][j - 1].f == maxFloat ||
|
||||
cellDetails[i][j - 1].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew,
|
||||
make_pair(i, j - 1)));
|
||||
cellDetails[i][j - 1].f = fNew;
|
||||
cellDetails[i][j - 1].g = gNew;
|
||||
cellDetails[i][j - 1].h = hNew;
|
||||
cellDetails[i][j - 1].parent_i = i;
|
||||
cellDetails[i][j - 1].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*if (foundDest == false)
|
||||
printf("Failed to find the Destination Cell\n");*/
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
void gogo(int endX,int endY)
|
||||
{
|
||||
updatePola();
|
||||
Sleep(1000);
|
||||
int grid[27][27];
|
||||
for (int i = 0; i < 27; i++)
|
||||
{
|
||||
for (int j = 0; j < 27; j++)
|
||||
{
|
||||
grid[i][j] = 0;
|
||||
}
|
||||
}
|
||||
Pair src = make_pair(pozycjaTraktoraX, pozycjaTraktoraY);
|
||||
Pair dest = make_pair(endX, endY);
|
||||
aStarSearch(grid, src, dest);
|
||||
}
|
||||
|
||||
void test1()
|
||||
{
|
||||
pole[1][3][0] = 'B';
|
||||
pole[1][3][1] = '9';
|
||||
pole[3][1][0] = 'B';
|
||||
pole[3][1][1] = '9';
|
||||
}
|
||||
void test2()
|
||||
{
|
||||
for (int i = 1; i < 26; i++)
|
||||
{
|
||||
for (int j = 1; j < i; j++)
|
||||
{
|
||||
pole[i][j][0] = 'B';
|
||||
pole[i][j][1] = '9';
|
||||
}
|
||||
}
|
||||
test1();
|
||||
updatePola();
|
||||
}
|
||||
|
||||
void start1()
|
||||
{
|
||||
int goalX = 3, goalY = 4;
|
||||
test1();
|
||||
pole[1][1][0] = 'T';
|
||||
pole[1][1][1] = '1';
|
||||
pole[goalY][goalX][0] = 'G';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
gogo(goalX, goalY);
|
||||
}
|
||||
void start2()
|
||||
{
|
||||
int goalX = 6, goalY = 6;
|
||||
test2();
|
||||
pole[1][1][0] = 'T';
|
||||
pole[1][1][1] = '1';
|
||||
pole[goalY][goalX][0] = 'G';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
gogo(goalX, goalY);
|
||||
}
|
||||
void start3()
|
||||
{
|
||||
int goalX = 6, goalY = 9;
|
||||
test2();
|
||||
pole[1][1][0] = 'T';
|
||||
pole[1][1][1] = '1';
|
||||
pole[goalY][goalX][0] = 'G';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
gogo(goalX, goalY);
|
||||
}
|
||||
|
||||
int main()
|
||||
{
|
||||
SetWindow(50, 30);
|
||||
//create pola//
|
||||
for (int i = 0; i < 27; i++)
|
||||
{
|
||||
pole[i][0][0] = '#';
|
||||
pole[0][i][0] = '#';
|
||||
pole[26][i][0] = '#';
|
||||
pole[i][26][0] = '#';
|
||||
pole[i][0][1] = '9';
|
||||
pole[0][i][1] = '9';
|
||||
pole[26][i][1] = '9';
|
||||
pole[i][26][1] = '9';
|
||||
}
|
||||
for (int i = 1; i < 26; i++)
|
||||
{
|
||||
for (int j = 1; j < 26; j++)
|
||||
{
|
||||
pole[i][j][0] = '.';
|
||||
pole[i][j][1] = '1';
|
||||
}
|
||||
}
|
||||
|
||||
for (int i = 0; i < 25; i++)
|
||||
{
|
||||
pole[i + 1][i + 1][0] = 'B';
|
||||
pole[i + 1][i + 1][1] = '9';
|
||||
}
|
||||
|
||||
updatePola();
|
||||
|
||||
start3(); // testy start 1-3
|
||||
|
||||
//---------start---------//
|
||||
bool traktorDziala = true;
|
||||
|
||||
char akcja;
|
||||
|
||||
do
|
||||
{
|
||||
akcja = _getch();
|
||||
if (akcja == 'w' || akcja == 's' || akcja == 'a' || akcja == 'd')
|
||||
{
|
||||
Move(akcja);
|
||||
}
|
||||
if (akcja == '0')
|
||||
{
|
||||
traktorDziala = false;
|
||||
}
|
||||
} while (traktorDziala);
|
||||
//---------end---------//
|
||||
|
||||
return 0;
|
||||
}
|
||||
712
backups/Main_drzewa1.cpp
Normal file
712
backups/Main_drzewa1.cpp
Normal file
@ -0,0 +1,712 @@
|
||||
#include<iostream>
|
||||
#include<stdlib.h>
|
||||
#include<windows.h>
|
||||
#include<conio.h>
|
||||
#include<string>
|
||||
#include<list>
|
||||
#include<set>
|
||||
#include<math.h>
|
||||
#include<stack>
|
||||
#include<fstream>
|
||||
|
||||
using namespace std;
|
||||
|
||||
const float maxFloat=FLT_MAX;
|
||||
const int ROW = 27;
|
||||
const int COL = 27;
|
||||
typedef pair<int, int> Pair;
|
||||
typedef pair<double, pair<int, int>> pPair;
|
||||
struct cell
|
||||
{
|
||||
int parent_i, parent_j;
|
||||
double f, g, h;
|
||||
};
|
||||
|
||||
char pole[27][27][6];
|
||||
int pozycjaTraktoraX = 1, pozycjaTraktoraY = 1;
|
||||
char currentWay = 'S';
|
||||
|
||||
void color(string foregroundColor, string backgroundColor)
|
||||
{
|
||||
HANDLE hOut;
|
||||
hOut = GetStdHandle(STD_OUTPUT_HANDLE);
|
||||
int foregroundCode = 15;
|
||||
if (foregroundColor == "black")
|
||||
foregroundCode = 0;
|
||||
if (foregroundColor == "dark_blue")
|
||||
foregroundCode = 1;
|
||||
if (foregroundColor == "green")
|
||||
foregroundCode = 2;
|
||||
if (foregroundColor == "cyan")
|
||||
foregroundCode = 3;
|
||||
if (foregroundColor == "dark_red")
|
||||
foregroundCode = 4;
|
||||
if (foregroundColor == "purple")
|
||||
foregroundCode = 5;
|
||||
if (foregroundColor == "dark_yellow")
|
||||
foregroundCode = 6;
|
||||
if (foregroundColor == "light_gray")
|
||||
foregroundCode = 7;
|
||||
if (foregroundColor == "gray")
|
||||
foregroundCode = 8;
|
||||
if (foregroundColor == "blue")
|
||||
foregroundCode = 9;
|
||||
if (foregroundColor == "lime")
|
||||
foregroundCode = 10;
|
||||
if (foregroundColor == "light_blue")
|
||||
foregroundCode = 11;
|
||||
if (foregroundColor == "red")
|
||||
foregroundCode = 12;
|
||||
if (foregroundColor == "magenta")
|
||||
foregroundCode = 13;
|
||||
if (foregroundColor == "yellow")
|
||||
foregroundCode = 14;
|
||||
if (foregroundColor == "white")
|
||||
foregroundCode = 15;
|
||||
|
||||
int backgroundCode = 0;
|
||||
if (backgroundColor == "black")
|
||||
backgroundCode = 0;
|
||||
if (backgroundColor == "dark_blue")
|
||||
backgroundCode = 1;
|
||||
if (backgroundColor == "green")
|
||||
backgroundCode = 2;
|
||||
if (backgroundColor == "cyan")
|
||||
backgroundCode = 3;
|
||||
if (backgroundColor == "dark_red")
|
||||
backgroundCode = 4;
|
||||
if (backgroundColor == "purple")
|
||||
backgroundCode = 5;
|
||||
if (backgroundColor == "dark_yellow")
|
||||
backgroundCode = 6;
|
||||
if (backgroundColor == "light_gray")
|
||||
backgroundCode = 7;
|
||||
if (backgroundColor == "gray")
|
||||
backgroundCode = 8;
|
||||
if (backgroundColor == "blue")
|
||||
backgroundCode = 9;
|
||||
if (backgroundColor == "lime")
|
||||
backgroundCode = 10;
|
||||
if (backgroundColor == "light_blue")
|
||||
backgroundCode = 11;
|
||||
if (backgroundColor == "red")
|
||||
backgroundCode = 12;
|
||||
if (backgroundColor == "magenta")
|
||||
backgroundCode = 13;
|
||||
if (backgroundColor == "yellow")
|
||||
backgroundCode = 14;
|
||||
if (backgroundColor == "white")
|
||||
backgroundCode = 15;
|
||||
SetConsoleTextAttribute(hOut, foregroundCode + backgroundCode * 16);
|
||||
}
|
||||
|
||||
void SetWindow(int Width, int Height)
|
||||
{
|
||||
_COORD coord;
|
||||
coord.X = Width;
|
||||
coord.Y = Height;
|
||||
|
||||
_SMALL_RECT Rect;
|
||||
Rect.Top = 0;
|
||||
Rect.Left = 0;
|
||||
Rect.Bottom = Height - 1;
|
||||
Rect.Right = Width - 1;
|
||||
|
||||
HANDLE Handle = GetStdHandle(STD_OUTPUT_HANDLE); // Get Handle
|
||||
SetConsoleScreenBufferSize(Handle, coord); // Set Buffer Size
|
||||
SetConsoleWindowInfo(Handle, TRUE, &Rect); // Set Window Size
|
||||
}
|
||||
|
||||
void updatePola()
|
||||
{
|
||||
system("cls");
|
||||
for (int i = 0; i < 27; i++)
|
||||
{
|
||||
for (int j = 0; j < 27; j++)
|
||||
{
|
||||
char item = pole[i][j][0];
|
||||
switch (item)
|
||||
{
|
||||
case 'B':
|
||||
{
|
||||
color("purple", "dark_yellow");
|
||||
}break;
|
||||
case 'Z':
|
||||
{
|
||||
color("cyan", "dark_yellow");
|
||||
}break;
|
||||
case 'T':
|
||||
{
|
||||
color("red", "dark_yellow");
|
||||
}break;
|
||||
case 'G':
|
||||
{
|
||||
color("lime", "dark_yellow");
|
||||
}break;
|
||||
case '.':
|
||||
{
|
||||
color("yellow", "dark_yellow");
|
||||
}break;
|
||||
case '#':
|
||||
{
|
||||
color("light_gray", "gray");
|
||||
}break;
|
||||
}
|
||||
cout << pole[i][j][0];
|
||||
|
||||
}
|
||||
cout << endl;
|
||||
color("white", "black");
|
||||
}
|
||||
}
|
||||
|
||||
void correctMovement(char wantedWay)
|
||||
{
|
||||
while (currentWay != wantedWay)
|
||||
{
|
||||
switch (currentWay)
|
||||
{
|
||||
case 'N':
|
||||
{
|
||||
if (wantedWay == 'S')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'W';
|
||||
}break;
|
||||
case 'S':
|
||||
{
|
||||
if (wantedWay == 'N')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'W';
|
||||
}break;
|
||||
case 'W':
|
||||
{
|
||||
if (wantedWay == 'E')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'N';
|
||||
}break;
|
||||
case 'E':
|
||||
{
|
||||
if (wantedWay == 'W')
|
||||
currentWay = wantedWay;
|
||||
else
|
||||
currentWay = 'N';
|
||||
}break;
|
||||
}
|
||||
}
|
||||
}
|
||||
void Move(char kierunek)
|
||||
{
|
||||
switch (kierunek)
|
||||
{
|
||||
//góra-(w)
|
||||
case 'w':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY - 1][pozycjaTraktoraX][0] != '#')
|
||||
{
|
||||
correctMovement('N');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraY--;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
//dół-(s)
|
||||
case 's':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY + 1][pozycjaTraktoraX][0] != '#')
|
||||
{
|
||||
correctMovement('S');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraY++;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
//lewo-(a)
|
||||
case 'a':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY][pozycjaTraktoraX - 1][0] != '#')
|
||||
{
|
||||
correctMovement('W');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraX--;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
//prawo-(d)
|
||||
case 'd':
|
||||
{
|
||||
if (pole[pozycjaTraktoraY][pozycjaTraktoraX + 1][0] != '#')
|
||||
{
|
||||
correctMovement('E');
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = '.';
|
||||
pozycjaTraktoraX++;
|
||||
pole[pozycjaTraktoraY][pozycjaTraktoraX][0] = 'T';
|
||||
}
|
||||
updatePola();
|
||||
}break;
|
||||
}
|
||||
}
|
||||
|
||||
bool isValid(int x, int y)
|
||||
{
|
||||
if (pole[x][y][0] != '#')
|
||||
{
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
bool isDestination(int x, int y,Pair dest)
|
||||
{
|
||||
if (dest.first == x && dest.second == y)
|
||||
{
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
double calculateHValue(int x, int y, Pair dest)
|
||||
{
|
||||
return abs(x - dest.first) + abs(y - dest.second);
|
||||
}
|
||||
void tracePath(cell cellDetails[][COL], Pair dest)
|
||||
{
|
||||
//printf("\nThe Path is "); //----start info
|
||||
int row = dest.first;
|
||||
int col = dest.second;
|
||||
|
||||
stack<Pair> Path;
|
||||
|
||||
while (!(cellDetails[row][col].parent_i == row
|
||||
&& cellDetails[row][col].parent_j == col))
|
||||
{
|
||||
Path.push(make_pair(row, col));
|
||||
int temp_row = cellDetails[row][col].parent_i;
|
||||
int temp_col = cellDetails[row][col].parent_j;
|
||||
row = temp_row;
|
||||
col = temp_col;
|
||||
}
|
||||
|
||||
Path.push(make_pair(row, col));
|
||||
while (!Path.empty())
|
||||
{
|
||||
pair<int, int> p = Path.top();
|
||||
Path.pop();
|
||||
if (p.first > pozycjaTraktoraX)
|
||||
Move('d');
|
||||
if (p.first < pozycjaTraktoraX)
|
||||
Move('a');
|
||||
if (p.second > pozycjaTraktoraY)
|
||||
Move('s');
|
||||
if (p.second < pozycjaTraktoraY)
|
||||
Move('w');
|
||||
|
||||
//printf("-> (%d,%d) ", p.first, p.second); //---- informacja wierzchołku
|
||||
Sleep(1000);
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
void aStarSearch(int grid[][COL],Pair src, Pair dest)
|
||||
{
|
||||
bool closedList[ROW][COL];
|
||||
memset(closedList, false, sizeof(closedList));
|
||||
|
||||
cell cellDetails[ROW][COL];
|
||||
|
||||
int i, j;
|
||||
for (i = 0; i < ROW; i++)
|
||||
{
|
||||
for (j = 0; j < COL; j++)
|
||||
{
|
||||
cellDetails[i][j].f = maxFloat;
|
||||
cellDetails[i][j].g = maxFloat;
|
||||
cellDetails[i][j].h = maxFloat;
|
||||
cellDetails[i][j].parent_i = -1;
|
||||
cellDetails[i][j].parent_j = -1;
|
||||
}
|
||||
}
|
||||
i = src.first, j = src.second;
|
||||
cellDetails[i][j].f = 0.0;
|
||||
cellDetails[i][j].g = 0.0;
|
||||
cellDetails[i][j].h = 0.0;
|
||||
cellDetails[i][j].parent_i = i;
|
||||
cellDetails[i][j].parent_j = j;
|
||||
|
||||
set<pPair> openList;
|
||||
openList.insert(make_pair(0.0, make_pair(i, j)));
|
||||
bool foundDest = false;
|
||||
|
||||
while (!openList.empty())
|
||||
{
|
||||
pPair p = *openList.begin();
|
||||
openList.erase(openList.begin());
|
||||
i = p.second.first;
|
||||
j = p.second.second;
|
||||
closedList[i][j] = true;
|
||||
|
||||
double gNew, hNew, fNew;
|
||||
double waga = 1.0;
|
||||
waga = ((double)pole[j][i][1] - 48)*1.0;//----waga
|
||||
|
||||
//----------- 1st Successor (North) ------------
|
||||
if (isValid(i - 1, j) == true)
|
||||
{
|
||||
if (isDestination(i - 1, j, dest) == true)
|
||||
{
|
||||
cellDetails[i - 1][j].parent_i = i;
|
||||
cellDetails[i - 1][j].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i - 1][j] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i - 1, j, dest);
|
||||
fNew = gNew + hNew;
|
||||
|
||||
if (cellDetails[i - 1][j].f == maxFloat ||
|
||||
cellDetails[i - 1][j].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew,
|
||||
make_pair(i - 1, j)));
|
||||
|
||||
|
||||
cellDetails[i - 1][j].f = fNew;
|
||||
cellDetails[i - 1][j].g = gNew;
|
||||
cellDetails[i - 1][j].h = hNew;
|
||||
cellDetails[i - 1][j].parent_i = i;
|
||||
cellDetails[i - 1][j].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//----------- 2nd Successor (South) ------------
|
||||
if (isValid(i + 1, j) == true)
|
||||
{
|
||||
if (isDestination(i + 1, j, dest) == true)
|
||||
{
|
||||
cellDetails[i + 1][j].parent_i = i;
|
||||
cellDetails[i + 1][j].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i + 1][j] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i + 1, j, dest);
|
||||
fNew = gNew + hNew;
|
||||
if (cellDetails[i + 1][j].f == maxFloat ||
|
||||
cellDetails[i + 1][j].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew, make_pair(i + 1, j)));
|
||||
cellDetails[i + 1][j].f = fNew;
|
||||
cellDetails[i + 1][j].g = gNew;
|
||||
cellDetails[i + 1][j].h = hNew;
|
||||
cellDetails[i + 1][j].parent_i = i;
|
||||
cellDetails[i + 1][j].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//----------- 3rd Successor (East) ------------
|
||||
if (isValid(i, j + 1) == true)
|
||||
{
|
||||
if (isDestination(i, j + 1, dest) == true)
|
||||
{
|
||||
cellDetails[i][j + 1].parent_i = i;
|
||||
cellDetails[i][j + 1].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i][j + 1] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i, j + 1, dest);
|
||||
fNew = gNew + hNew;
|
||||
if (cellDetails[i][j + 1].f == maxFloat ||
|
||||
cellDetails[i][j + 1].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew,
|
||||
make_pair(i, j + 1)));
|
||||
cellDetails[i][j + 1].f = fNew;
|
||||
cellDetails[i][j + 1].g = gNew;
|
||||
cellDetails[i][j + 1].h = hNew;
|
||||
cellDetails[i][j + 1].parent_i = i;
|
||||
cellDetails[i][j + 1].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//----------- 4th Successor (West) ------------
|
||||
if (isValid(i, j - 1) == true)
|
||||
{
|
||||
if (isDestination(i, j - 1, dest) == true)
|
||||
{
|
||||
cellDetails[i][j - 1].parent_i = i;
|
||||
cellDetails[i][j - 1].parent_j = j;
|
||||
//printf("The destination cell is found\n");
|
||||
tracePath(cellDetails, dest);
|
||||
foundDest = true;
|
||||
return;
|
||||
}
|
||||
else if (closedList[i][j - 1] == false)
|
||||
{
|
||||
gNew = cellDetails[i][j].g + waga;
|
||||
hNew = calculateHValue(i, j - 1, dest);
|
||||
fNew = gNew + hNew;
|
||||
if (cellDetails[i][j - 1].f == maxFloat ||
|
||||
cellDetails[i][j - 1].f > fNew)
|
||||
{
|
||||
openList.insert(make_pair(fNew,
|
||||
make_pair(i, j - 1)));
|
||||
cellDetails[i][j - 1].f = fNew;
|
||||
cellDetails[i][j - 1].g = gNew;
|
||||
cellDetails[i][j - 1].h = hNew;
|
||||
cellDetails[i][j - 1].parent_i = i;
|
||||
cellDetails[i][j - 1].parent_j = j;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*if (foundDest == false)
|
||||
printf("Failed to find the Destination Cell\n");*/
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
void gogo(int endX,int endY)
|
||||
{
|
||||
updatePola();
|
||||
Sleep(1000);
|
||||
int grid[27][27];
|
||||
for (int i = 0; i < 27; i++)
|
||||
{
|
||||
for (int j = 0; j < 27; j++)
|
||||
{
|
||||
grid[i][j] = 0;
|
||||
}
|
||||
}
|
||||
Pair src = make_pair(pozycjaTraktoraX, pozycjaTraktoraY);
|
||||
Pair dest = make_pair(endX, endY);
|
||||
aStarSearch(grid, src, dest);
|
||||
}
|
||||
|
||||
void test1()
|
||||
{
|
||||
pole[1][3][0] = 'B';
|
||||
pole[1][3][1] = '9';
|
||||
pole[3][1][0] = 'Z';
|
||||
pole[3][1][1] = '9';
|
||||
}
|
||||
void test2()
|
||||
{
|
||||
for (int i = 1; i < 26; i++)
|
||||
{
|
||||
for (int j = 1; j < i; j++)
|
||||
{
|
||||
pole[i][j][0] = 'B';
|
||||
pole[i][j][1] = '9';
|
||||
}
|
||||
}
|
||||
test1();
|
||||
updatePola();
|
||||
}
|
||||
|
||||
void testSI1()
|
||||
{
|
||||
for (int i = 1; i < 26; i++)
|
||||
{
|
||||
for (int j = 1; j < 26; j++)
|
||||
{
|
||||
if (j % 3 == 0)
|
||||
{
|
||||
pole[i][j][2] = 'z'; //zyzne
|
||||
pole[i][j][3] = 'n'; //nawodnione
|
||||
pole[i][j][4] = 'c'; //w cieniu
|
||||
pole[i][j][5] = 'k'; //kwasne
|
||||
}
|
||||
else
|
||||
{
|
||||
if (j % 3 == 1)
|
||||
{
|
||||
pole[i][j][2] = 'j'; //jalowe
|
||||
pole[i][j][3] = 'n'; //nawodnione
|
||||
pole[i][j][4] = 's'; //w sloncu
|
||||
pole[i][j][5] = 'n'; //neutralne
|
||||
}
|
||||
else
|
||||
{
|
||||
pole[i][j][2] = 'z'; //zyzne
|
||||
pole[i][j][3] = 's'; //suche
|
||||
pole[i][j][4] = 's'; //sloneczne
|
||||
pole[i][j][5] = 'z'; //zasadowe
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void sendState()
|
||||
{
|
||||
ofstream write("dane.txt");
|
||||
for (int i = 1; i < 26; i++)
|
||||
{
|
||||
for (int j = 1; j < 26; j++)
|
||||
{
|
||||
string a;
|
||||
a += pole[i][j][2];
|
||||
a += ' ';
|
||||
a += pole[i][j][3];
|
||||
a += ' ';
|
||||
a += pole[i][j][4];
|
||||
a += ' ';
|
||||
a += pole[i][j][5];
|
||||
write << a << endl;
|
||||
}
|
||||
}
|
||||
write.close();
|
||||
}
|
||||
void reciveState()
|
||||
{
|
||||
ifstream read("decyzje.txt");
|
||||
if (read.is_open())
|
||||
{
|
||||
char plant;
|
||||
int i = 1;
|
||||
int j = 1;
|
||||
while (read >> plant)
|
||||
{
|
||||
if (j == 25)
|
||||
{
|
||||
gogo(1, i+1);
|
||||
}
|
||||
else
|
||||
{
|
||||
gogo(j+1 , i );
|
||||
}
|
||||
pole[i][j][0] = plant;
|
||||
if (plant == '.')
|
||||
{
|
||||
pole[i][j][1] = '1';
|
||||
}
|
||||
else
|
||||
{
|
||||
pole[i][j][1] = '9';
|
||||
}
|
||||
if (j == 25)
|
||||
{
|
||||
j = 1;
|
||||
i += 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
j += 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void start1()
|
||||
{
|
||||
int goalX = 3, goalY = 4;
|
||||
test1();
|
||||
testSI1();
|
||||
pole[1][1][0] = 'T';
|
||||
pole[1][1][1] = '1';
|
||||
pole[goalY][goalX][0] = 'G';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
gogo(goalX, goalY);
|
||||
gogo(goalX - 1, goalY);
|
||||
pole[goalY][goalX][0] = 'Z';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
updatePola();
|
||||
//sendState(); //trzeba ręcznie zmieniać między wysyłaniem stanu a pobieraniem stanu pola
|
||||
reciveState();
|
||||
}
|
||||
void start2()
|
||||
{
|
||||
int goalX = 6, goalY = 6;
|
||||
test2();
|
||||
pole[1][1][0] = 'T';
|
||||
pole[1][1][1] = '1';
|
||||
pole[goalY][goalX][0] = 'G';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
gogo(goalX, goalY);
|
||||
}
|
||||
void start3()
|
||||
{
|
||||
int goalX = 6, goalY = 9;
|
||||
test2();
|
||||
pole[1][1][0] = 'T';
|
||||
pole[1][1][1] = '1';
|
||||
pole[goalY][goalX][0] = 'G';
|
||||
pole[goalY][goalX][1] = '9';
|
||||
gogo(goalX, goalY);
|
||||
}
|
||||
|
||||
int main()
|
||||
{
|
||||
SetWindow(50, 30);
|
||||
//create pola//
|
||||
for (int i = 0; i < 27; i++)
|
||||
{
|
||||
pole[i][0][0] = '#';
|
||||
pole[0][i][0] = '#';
|
||||
pole[26][i][0] = '#';
|
||||
pole[i][26][0] = '#';
|
||||
pole[i][0][1] = '9';
|
||||
pole[0][i][1] = '9';
|
||||
pole[26][i][1] = '9';
|
||||
pole[i][26][1] = '9';
|
||||
}
|
||||
for (int i = 1; i < 26; i++)
|
||||
{
|
||||
for (int j = 1; j < 26; j++)
|
||||
{
|
||||
pole[i][j][0] = '.';
|
||||
pole[i][j][1] = '1';
|
||||
}
|
||||
}
|
||||
|
||||
for (int i = 0; i < 25; i++)
|
||||
{
|
||||
pole[i + 1][i + 1][0] = 'B';
|
||||
pole[i + 1][i + 1][1] = '9';
|
||||
}
|
||||
|
||||
updatePola();
|
||||
|
||||
start1(); // testy start 1-3
|
||||
|
||||
//---------start---------//
|
||||
bool traktorDziala = true;
|
||||
|
||||
char akcja;
|
||||
|
||||
do
|
||||
{
|
||||
akcja = _getch();
|
||||
if (akcja == 'w' || akcja == 's' || akcja == 'a' || akcja == 'd')
|
||||
{
|
||||
Move(akcja);
|
||||
}
|
||||
if (akcja == '0')
|
||||
{
|
||||
traktorDziala = false;
|
||||
}
|
||||
} while (traktorDziala);
|
||||
//---------end---------//
|
||||
|
||||
return 0;
|
||||
}
|
||||
1163
backups/Main_drzewa1_algorytmGenetyczny.cpp
Normal file
1163
backups/Main_drzewa1_algorytmGenetyczny.cpp
Normal file
File diff suppressed because it is too large
Load Diff
625
dane.txt
Normal file
625
dane.txt
Normal file
@ -0,0 +1,625 @@
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|
||||
j n s n
|
||||
z s s z
|
||||
z n c k
|
||||
j n s n
|
||||
BIN
decisionTree.sav
Normal file
BIN
decisionTree.sav
Normal file
Binary file not shown.
625
decyzje.txt
Normal file
625
decyzje.txt
Normal file
@ -0,0 +1,625 @@
|
||||
.
|
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B
|
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Z
|
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.
|
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|
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|
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|
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|
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.
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|
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|
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|
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|
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|
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|
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|
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|
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.
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|
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|
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.
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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.
|
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.
|
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|
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|
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.
|
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|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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|
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Z
|
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.
|
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|
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Z
|
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|
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B
|
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Z
|
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.
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
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B
|
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Z
|
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.
|
||||
165
drzewaDecyzyjne.py
Normal file
165
drzewaDecyzyjne.py
Normal file
@ -0,0 +1,165 @@
|
||||
training_data = [
|
||||
#zyznosc, nawodnienie, cien, kwasowosc
|
||||
['z', 'n', 's', 'z', 1],
|
||||
['z', 'n', 's', 'n', 1],
|
||||
['j', 'n', 's', 'z', 1],
|
||||
['z', 's', 's', 'n', 1],
|
||||
['j', 'n', 'c', 'n', 1],
|
||||
['z', 'n', 's', 'k', 1],
|
||||
['z', 'n', 'c', 'k', 2],
|
||||
['z', 's', 's', 'k', 2],
|
||||
['z', 's', 'c', 'k', 2],
|
||||
['j', 'n', 's', 'k', 2],
|
||||
['z', 's', 'c', 'z', 3],
|
||||
['j', 'n', 's', 'n', 3]
|
||||
]
|
||||
|
||||
header = ["zyznosc", "nawodnienie", "cien", "kwasowosc", "wybor"]
|
||||
|
||||
def class_counts(rows):
|
||||
counts = {}
|
||||
for row in rows:
|
||||
label = row[-1]
|
||||
if label not in counts:
|
||||
counts[label] = 0
|
||||
counts[label] += 1
|
||||
return counts
|
||||
|
||||
|
||||
def is_numeric(value):
|
||||
return isinstance(value, int) or isinstance(value, float)
|
||||
|
||||
|
||||
class Question:
|
||||
def __init__(self, column, value):
|
||||
self.column = column
|
||||
self.value = value
|
||||
|
||||
def match(self, example):
|
||||
val = example[self.column]
|
||||
if is_numeric(val):
|
||||
return val >= self.value
|
||||
else:
|
||||
return val == self.value
|
||||
|
||||
def __repr__(self):
|
||||
condition = "=="
|
||||
if is_numeric(self.value):
|
||||
condition = ">="
|
||||
return "Czy %s %s %s?" % (
|
||||
header[self.column], condition, str(self.value))
|
||||
|
||||
def partition(rows, question):
|
||||
true_rows, false_rows = [], []
|
||||
for row in rows:
|
||||
if question.match(row):
|
||||
true_rows.append(row)
|
||||
else:
|
||||
false_rows.append(row)
|
||||
return true_rows, false_rows
|
||||
|
||||
|
||||
def gini(rows):
|
||||
counts = class_counts(rows)
|
||||
impurity = 1
|
||||
for lbl in counts:
|
||||
prob_of_lbl = counts[lbl] / float(len(rows))
|
||||
impurity -= prob_of_lbl**2
|
||||
return impurity
|
||||
|
||||
|
||||
def info_gain(left, right, current_uncertainty):
|
||||
p = float(len(left)) / (len(left) + len(right))
|
||||
return current_uncertainty - p * gini(left) - (1 - p) * gini(right)
|
||||
|
||||
|
||||
def find_best_split(rows):
|
||||
best_gain = 0
|
||||
best_question = None
|
||||
current_uncertainty = gini(rows)
|
||||
n_features = len(rows[0]) - 1
|
||||
for col in range(n_features):
|
||||
values = set([row[col] for row in rows])
|
||||
for val in values:
|
||||
question = Question(col, val)
|
||||
true_rows, false_rows = partition(rows, question)
|
||||
if len(true_rows) == 0 or len(false_rows) == 0:
|
||||
continue
|
||||
gain = info_gain(true_rows, false_rows, current_uncertainty)
|
||||
if gain >= best_gain:
|
||||
best_gain, best_question = gain, question
|
||||
return best_gain, best_question
|
||||
|
||||
|
||||
class Leaf:
|
||||
def __init__(self, rows):
|
||||
self.predictions = class_counts(rows)
|
||||
|
||||
class Decision_Node:
|
||||
def __init__(self,
|
||||
question,
|
||||
true_branch,
|
||||
false_branch):
|
||||
self.question = question
|
||||
self.true_branch = true_branch
|
||||
self.false_branch = false_branch
|
||||
|
||||
def build_tree(rows):
|
||||
gain, question = find_best_split(rows)
|
||||
if gain == 0:
|
||||
return Leaf(rows)
|
||||
true_rows, false_rows = partition(rows, question)
|
||||
true_branch = build_tree(true_rows)
|
||||
false_branch = build_tree(false_rows)
|
||||
return Decision_Node(question, true_branch, false_branch)
|
||||
|
||||
|
||||
def print_tree(node, spacing=""):
|
||||
if isinstance(node, Leaf):
|
||||
print (spacing + "Predict", node.predictions)
|
||||
return
|
||||
print (spacing + str(node.question))
|
||||
print (spacing + '--> True:')
|
||||
print_tree(node.true_branch, spacing + " ")
|
||||
print (spacing + '--> False:')
|
||||
print_tree(node.false_branch, spacing + " ")
|
||||
|
||||
|
||||
my_tree = build_tree(training_data)
|
||||
|
||||
print_tree(my_tree)
|
||||
|
||||
def classify(row, node):
|
||||
if isinstance(node, Leaf):
|
||||
return node.predictions
|
||||
if node.question.match(row):
|
||||
return classify(row, node.true_branch)
|
||||
else:
|
||||
return classify(row, node.false_branch)
|
||||
|
||||
def print_leaf(counts):
|
||||
total = sum(counts.values()) * 1.0
|
||||
probs = {}
|
||||
for lbl in counts.keys():
|
||||
probs[lbl] = str(int(counts[lbl] / total * 100)) + "%"
|
||||
return probs
|
||||
|
||||
|
||||
with open( 'dane.txt', "r" ) as f:
|
||||
testing_data = [ line.split() for line in f ]
|
||||
|
||||
|
||||
file = open("decyzje.txt", "w")
|
||||
file.write("")
|
||||
file.close()
|
||||
|
||||
for row in testing_data:
|
||||
pom = print_leaf(classify(row, my_tree))
|
||||
f = open("decyzje.txt", "a")
|
||||
if pom == {1: '100%'}:
|
||||
f.write("B\n")
|
||||
if pom == {2: '100%'}:
|
||||
f.write("Z\n")
|
||||
if pom == {3: '100%'}:
|
||||
f.write(".\n")
|
||||
f.close()
|
||||
@ -8,7 +8,7 @@ którym będzie poruszał się agent.
|
||||
W skład zespołu wchodzą:
|
||||
Tomasz Dzierzbicki,
|
||||
Szymon Parafiński,
|
||||
Karol Piotrowski,
|
||||
Laura Piotrowska,
|
||||
Jarosław Zbąski.
|
||||
|
||||
# Temat projektu i wybrane rozwiązanie
|
||||
|
||||
52
final-evaluation.md
Normal file
52
final-evaluation.md
Normal file
@ -0,0 +1,52 @@
|
||||
# Szymon Parafiński
|
||||
implementacja drzew decyzyjnych z nauczonego pliku
|
||||
|
||||
|
||||
|
||||
implementacja funkcji która decyduje co zrobić z obecnym polem
|
||||
|
||||
|
||||
|
||||
Funkcja jest zastosowana podczas osiągniecia celu ruchu
|
||||
|
||||
|
||||
# Tomasz Dzierzbicki
|
||||
implementacja sieci neuronowych z nauczonego pliku
|
||||
|
||||
|
||||
|
||||
implementacja funkcji która szuka nalepszego pola do zastosowania na nim działań
|
||||
|
||||
|
||||
|
||||
Funkcja jest używana w nieskończoność po uruchomieniu programu
|
||||
|
||||
|
||||
|
||||
# Jarosław Zbąski
|
||||
implementacja drzew decyzyjnych z nauczonego pliku
|
||||
|
||||
|
||||
|
||||
implementacja funkcji która decyduje co posadzić
|
||||
|
||||
|
||||
|
||||
Funkcja jest zastosowana po zebraniu na tym samym polu
|
||||
|
||||
|
||||
|
||||
# Laura Piotrowska
|
||||
implementacja algorytmu genetycznego
|
||||
|
||||
|
||||
|
||||
Zaimplementowane zostało zbieranie warzyw, a algorytm przygotowuje porcję nowych roślin do zasadzenia
|
||||
|
||||
Algorytm jest wywoływany co ustaloną liczbę zebranych buraków lub ziemniaków
|
||||
|
||||
|
||||
|
||||
Implementacja zbierania
|
||||
|
||||
|
||||
BIN
images/13_05/1.png
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|
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images/13_05/5.png
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|
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BIN
images/13_05/6.png
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|
After Width: | Height: | Size: 53 KiB |
BIN
images/13_05/7.png
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|
After Width: | Height: | Size: 40 KiB |
BIN
images/13_05/8.png
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|
After Width: | Height: | Size: 30 KiB |
BIN
images/13_05/9.png
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BIN
images/13_05/9.png
Normal file
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|
After Width: | Height: | Size: 80 KiB |
BIN
images/cross.png
Normal file
BIN
images/cross.png
Normal file
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|
After Width: | Height: | Size: 33 KiB |
BIN
images/crossover.png
Normal file
BIN
images/crossover.png
Normal file
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|
After Width: | Height: | Size: 20 KiB |
BIN
images/fitness.png
Normal file
BIN
images/fitness.png
Normal file
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|
After Width: | Height: | Size: 6.1 KiB |
BIN
images/genetic_algorithm.png
Normal file
BIN
images/genetic_algorithm.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 17 KiB |
BIN
images/last_images/1.png
Normal file
BIN
images/last_images/1.png
Normal file
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|
After Width: | Height: | Size: 5.4 KiB |
BIN
images/last_images/10.png
Normal file
BIN
images/last_images/10.png
Normal file
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|
After Width: | Height: | Size: 69 KiB |
BIN
images/last_images/11.png
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images/last_images/11.png
Normal file
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|
After Width: | Height: | Size: 27 KiB |
BIN
images/last_images/2.png
Normal file
BIN
images/last_images/2.png
Normal file
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|
After Width: | Height: | Size: 1.7 KiB |
BIN
images/last_images/3.png
Normal file
BIN
images/last_images/3.png
Normal file
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|
After Width: | Height: | Size: 3.6 KiB |
BIN
images/last_images/4.png
Normal file
BIN
images/last_images/4.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 36 KiB |
BIN
images/last_images/5.png
Normal file
BIN
images/last_images/5.png
Normal file
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|
After Width: | Height: | Size: 1.9 KiB |
BIN
images/last_images/6.png
Normal file
BIN
images/last_images/6.png
Normal file
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|
After Width: | Height: | Size: 3.8 KiB |
BIN
images/last_images/7.png
Normal file
BIN
images/last_images/7.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 3.0 KiB |
BIN
images/last_images/8.png
Normal file
BIN
images/last_images/8.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.8 KiB |
BIN
images/last_images/9.png
Normal file
BIN
images/last_images/9.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.9 KiB |
BIN
images/last_images/obsluga.png
Normal file
BIN
images/last_images/obsluga.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.3 KiB |
BIN
images/move_zbieranie.png
Normal file
BIN
images/move_zbieranie.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 22 KiB |
BIN
images/obsluga.png
Normal file
BIN
images/obsluga.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 25 KiB |
BIN
images/przypiszKod.png
Normal file
BIN
images/przypiszKod.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 5.6 KiB |
BIN
images/selection.png
Normal file
BIN
images/selection.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 27 KiB |
BIN
images/test2_generowanie_burakow.png
Normal file
BIN
images/test2_generowanie_burakow.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 12 KiB |
BIN
images/wykonanie_algorytmu_gen.png
Normal file
BIN
images/wykonanie_algorytmu_gen.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 14 KiB |
BIN
initial.txt
BIN
initial.txt
Binary file not shown.
33
injectCode.py
Normal file
33
injectCode.py
Normal file
@ -0,0 +1,33 @@
|
||||
import pickle
|
||||
import sys
|
||||
|
||||
|
||||
def prediction(warzywo, nawoz ,srodek, stan_wzrostu):
|
||||
filename = 'decisionTree.sav'
|
||||
tree = pickle.load(open(filename, 'rb'))
|
||||
val = (tree.predict([[warzywo, nawoz, srodek, stan_wzrostu]]))
|
||||
save(val)
|
||||
|
||||
def save(prediction):
|
||||
pred = str(prediction)
|
||||
plik = open('dec.txt', 'w')
|
||||
plik.write(pred[1])
|
||||
plik.close()
|
||||
|
||||
def decision(prediction):
|
||||
if prediction == 0:
|
||||
return "Nie_podejmuj_dzialania"
|
||||
elif prediction == 1:
|
||||
return "Zastosuj_nawoz"
|
||||
elif prediction == 2:
|
||||
return "Zastosuj_srodek"
|
||||
elif prediction == 4:
|
||||
return "Zbierz"
|
||||
elif prediction == 5:
|
||||
return "Roslina_juz_zgnila__zbierz_i_wyrzuc"
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# Map command line arguments to function arguments.
|
||||
prediction(*sys.argv[1:])
|
||||
625
matrix.txt
Normal file
625
matrix.txt
Normal file
@ -0,0 +1,625 @@
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
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|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
0.15760229181 2.67552455e-9 0.00126219853 0.21969625454
|
||||
@ -5,7 +5,7 @@ Ten dokument to raport z wykonanego drugiego zadania projektu zespołowego na pr
|
||||
W skład zespołu wchodzą:
|
||||
Tomasz Dzierzbicki,
|
||||
Szymon Parafiński,
|
||||
Karol Piotrowski,
|
||||
Laura Piotrowska,
|
||||
Jarosław Zbąski.
|
||||
|
||||
# Zasady poruszania się agenta po planszy
|
||||
|
||||
Loading…
Reference in New Issue
Block a user